TY - JOUR
T1 - Evaluation of on-board photovoltaic modules options for electric vehicles
AU - Abdelhamid, Mahmoud
AU - Singh, Rajendra
AU - Qattawi, Ala
AU - Omar, Mohammed
AU - Haque, Imtiaz
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/11/1
Y1 - 2014/11/1
N2 - This paper presents an overview of different commercial photovoltaic (PV) module options to power on-board electric vehicles (EVs). We propose the evaluation factors, constraints, and the decision-making criteria necessary to assess the suitability of this PV module for this application. The incorporation of quality function deployment (QFD) and the analytical hierarchy process (AHP) is the decision-making methodology used in this study. Our approach is innovative and robust in that the evaluation depends upon data collected from PV manufactures datasheets. Unlike traditional research, a hybrid AHP and QFD innovative decision-making methodology has been created, and current commercial PV market data for all pairwise comparisons are used to show that methodology. Using both cooled and uncooled PV modules, best, intermediate, and worst-case scenarios were used to estimate the driving ranges of lightweight EVs powered exclusively by bulk silicon PV modules. Results showed that the available daily driving ranges were between 25 and 60 km and that the CO2 emissions were reduced between 3 and 6.5 kg, compared with internal combustion vehicles of a similar type. We found that mono-Si PV modules were most suited to power low-speed, lightweight, and aerodynamically efficient EVs.
AB - This paper presents an overview of different commercial photovoltaic (PV) module options to power on-board electric vehicles (EVs). We propose the evaluation factors, constraints, and the decision-making criteria necessary to assess the suitability of this PV module for this application. The incorporation of quality function deployment (QFD) and the analytical hierarchy process (AHP) is the decision-making methodology used in this study. Our approach is innovative and robust in that the evaluation depends upon data collected from PV manufactures datasheets. Unlike traditional research, a hybrid AHP and QFD innovative decision-making methodology has been created, and current commercial PV market data for all pairwise comparisons are used to show that methodology. Using both cooled and uncooled PV modules, best, intermediate, and worst-case scenarios were used to estimate the driving ranges of lightweight EVs powered exclusively by bulk silicon PV modules. Results showed that the available daily driving ranges were between 25 and 60 km and that the CO2 emissions were reduced between 3 and 6.5 kg, compared with internal combustion vehicles of a similar type. We found that mono-Si PV modules were most suited to power low-speed, lightweight, and aerodynamically efficient EVs.
KW - Analytic hierarchy process (AHP)
KW - electric vehicles (EVs)
KW - photovoltaic cells
KW - quality function deployment (QFD)
KW - ranges
KW - solar energy
UR - https://www.scopus.com/pages/publications/85027931360
U2 - 10.1109/JPHOTOV.2014.2347799
DO - 10.1109/JPHOTOV.2014.2347799
M3 - Article
AN - SCOPUS:85027931360
SN - 2156-3381
VL - 4
SP - 1576
EP - 1584
JO - IEEE Journal of Photovoltaics
JF - IEEE Journal of Photovoltaics
IS - 6
M1 - 6884794
ER -